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The table below contains the area under the standard normal curve from 0 to z. This can be used to compute the cumulative distribution function values for the standard normal distribution.
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www.itl.nist.gov/div898/handbook/eda/section3/eda3671.h...
www.itl.nist.gov/div898/handbook/eda/section3/eda3671.htm
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The cumulative distribution function (cdf) is the probability that the variable takes a value less than or equal to x. That is ... The following is the plot of the normal cumulative distribution function.
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www.itl.nist.gov/div898/handbook/eda/section3/eda362.ht...
www.itl.nist.gov/div898/handbook/eda/section3/eda362.htm
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CDF, or cumulative distribution function, plots display exactly the same information as do histograms. The difference is that the histogram values are summed as the fluorescence intensity increases; thus, the CDF begins at 0% (left axis) and ends at 100% (right axis).
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www.treestar.com/flowjo/v3/html/graphcdf.html
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Every cumulative distribution function satisfies the following properties: ... If $X$ is a discrete random variable, then the cumulative distribution can be expressed as $F_X(x) = \sum_{k\leq x} \Prb[X = k]$ ... ; "cumulative distribution function" is owned by bbukh. [ full author list (2) | owner history (1) ]
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planetmath.org/encyclopedia/CumulativeDistributionFunct...
planetmath.org/encyclopedia/CumulativeDistributionFunction.html
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The cumulative distribution function (cdf) completely describes the probability distribution of a real-valued random variable, X (Wikipedia 2006). For every real number x, the cdf is given by...
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cnx.org/content/m13406/latest/
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Click here to see the number of accesses to this library. ... # Do NOT use for cryptographic purposes. Read Internet RFC1750. file zufall.f for ... by W.P. Petersen, IPS, ETH Zuerich lang Cray Fortran file zufall.shar for uniform , gaussian, and poisson random number generation alg lagged (-273,-607) Fibonacci; Box-Muller;
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ecdf - Empirical cumulative distribution function ... [f,x] = ecdf(y) calculates the Kaplan-Meier estimate of the cumulative distribution function (cdf), also known as the empirical cdf. y is a vector of data values. f is a vector of values of the empirical cdf evaluated at x.
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www.mathworks.com/access/helpdesk/help/toolbox/stats/ec...
www.mathworks.com/access/helpdesk/help/toolbox/stats/ecdf.shtml
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mvncdf - Multivariate normal cumulative distribution function ... y = mvncdf(X) returns the cumulative probability of the multivariate normal distribution with zero mean and identity covariance matrix, evaluated at each row of X. Rows of the n-by-d matrix X correspond to observations or points, and columns correspond...
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www.mathworks.com/access/helpdesk/help/toolbox/stats/mv...
www.mathworks.com/access/helpdesk/help/toolbox/stats/mvncdf.html
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where n is the sample size, F (x) is a hypothesized CDF with fixed parameters, and F n (x), also called the empirical distribution function, is a step-function that increases by 1=n at each data value. ... Computing the Cumulative Distribution Function of the Kolmogorov-Smirnov Statistic (1999) [9 citations — 7 self]
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citeseer.ist.psu.edu/214833.html
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